Heckman’s (1976, 1979) sample selection model has been employed in many studies of linear or nonlinear regression applications. It is well known that ignoring the sample selectivity problem may result in inconsistency of the estimator due to the correlation between the statistical errors in...

In this the size and power properties of the common factor Im, Pesaran and Shin (CIPS), Wald (W), likelihood ratio (LR) and Lagrange multiplier (LM) tests are investigated when the error term follows a spatial error model. The results from the Monte Carlo simulations used in this study, firstly...

We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

This article aims the comparison of LSMS survey in Central American countries to increase current knowledge of survey methodologies and ensure the most efficient dissemination and utilization of the results. It will improve the availability, quality and relevance of agricultural data for policy...

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The purpose of this paper is to explore the determinants of economic well-being. We provide a methodology to compute well-being by aggregating different socio-economic dimensions with factor analysis technique. We also estimate quality of good governance (using latent variable approach) and a...

Like any other company, life insurance companies maintain a combination of debt and equity for their long-term financing, which forms their capital structure. Many theories have been developed in the literature to focus upon the determinants that are likely to affect leverage decisions of the...